Argue all you like but, on our commercial scale setting, with standard gravity wort, boil, and hopping, we observe post-boil kettle gravity stratification.
You are making observations which cause you to conclude that stratification is taking place. If your observations are flawed the conclusion is invalid.
We use commercial grade hydrometers with temperature calibration, pre-test wort chillers with temperature confirmation, and bi-weekly accuracy testing testing of our equipment.
For this kind of work you should be using a digital densitometer. I understand, hwever, that those things are too expensive for any but pretty good sized breweries.
We also have a standard commercial height vs diameter kettle ratio,follow standardized testing protocols
The ASBC MOA calls for the use of a densitometer.
..and observe stratification in our wort density so regularly countering it is part of our testing protocol.
The problem I have in coming up with an explanation is that you are rather mysterious about what measurements you are actually taking, where and how.
Wort is not composed of strictly maltose,
No it isn't but that's irrelevant. Glucose and maltotriose, to pick a couple of other sugars are also uncharged, non polar molecules and thus not subject to any mechanism that would cause migration in a uniform solution. The ions of the salts are charged and thus subject to ionic strength effects but still flow along line of chemical potential gradient
..nor is it an even density when introduced into the tank.
Which tank are you talking about? You are going to have to be more precise in your explanations if you expect me to help you understand why you are seeing what you are seeing. But even if you are I cannot promise to be able to do that. Would you not agree that it is well mixed during the boil?
You're arguing against a phenomenon that is both well know,
It is well known that there are lots of ways to get stratification in the short term. Thoroughly mixing a solution and letting it stand isn't one of them unless a temperature gradient is applied. Stratification of a solution at uniform temperature would violate the second law of thermodynamics as I explained in an earlier post.
..and I would have to conclude that you're arguing without a complete grasp of the chemistry or physics involved.
Well you'd be right of course as I don't have a complete grasp of anything but I would have to observe that your arguments show a lack of undetrstanding of basic p-chem. Didn't you have to take a course in that on you path to your microbiology degree?
You're also doing a diffusion experiment, which is awesome. But, unfortunately, you're running a limited comparison small scale test using similar, but not identical, ingredients, dimensions, temperature, process, or time.
Irrelevant. Can you describe
any solution in which there is a concentration gradient and in which diffusion does not occur. Again I am surprised at the lack of knowledge here as diffusion in biological systems is very important in my limited understanding of such things.
Every difference between your experiment and an actual brew kettle wort boil reduces the relevance of the experiment to the brewing environment.
No it doesn't as explained above. I didn't have to do the diffusion experiment to convince myself. I knew exactly what would happen (except that I thought it would happen faster). The diffusion experiment was suggested as a simple experiment that people with limited experience in such things could do to convince themselves that stratification cannot take place under equilibrium conditions. Now I grant you that you are not seeing equilibrium in many places in the brewing process. But a wort thoroughly mixed my a vigorous boil would be a place where one would expect equilibrium to have been reached. At the conclusion of the boil, you maintain, something happens to upset the equilibrium but have no idea as to what that might be. Perhaps it is the temperature gradient I proposed in my earlier post but as I said then I don't think even that would result in temperature adjusted samples being different.
When your hypothesis doesn't match the full scale data, don't blame the data.
Quite the opposite. When the data doesn't match the hypothesis, the first thing one does is question the data. Especially when the hypothesis is as here the null hypothesis (basic physical laws say that stratification shouldn't occur) the very first thing you do is question the data and that is what I am doing here. The mature approach is to say 'The data don't match what the physics predict. Why is that?' and then dive in and find out why. Sometimes it's instrument error, sometimes it's software error, sometimes it's operator error and sometimes it's none of those but something you were unaware of or didn't think of or something you don't know about. The last is what you are suggesting here and I readily allow that this is possible. You can be sure I'll be experimenting with this next time I brew.